Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...
In this paper, we consider addressable procedures with DNA strands for logic and arithmetic operations. Using a theoretical model for DNA computing, we first show a DNA represent...
A technique to derive test vectors that exercise the worstcase delay effects in a domino circuit in the presence of crosstalk is described. A model for characterizing the delay of...
NTRUEncrypt is unusual among public-key cryptosystems in that, with standard parameters, validly generated ciphertexts can fail to decrypt. This affects the provable security prop...
Nick Howgrave-Graham, Phong Q. Nguyen, David Point...
We present a system capable of visually detecting pointing gestures and estimating the 3D pointing direction in real-time. We use Hidden Markov Models (HMMs) trained on different ...